A modified particle swarm optimization algorithm and its application in optimal power flow problem

Author

Wang, Cui-Ru ; Yuan, He-Jin ; Huang, Zhi-Qiang ; Zhang, Jiang-Wei ; Sun, Chen-Jun

Author_Institution

Sch. of Comput. Sci. & Technol., North China Electr. Power Univ., Baoding, China

Volume

5

fYear

2005

fDate

18-21 Aug. 2005

Firstpage

2885

Abstract

A modified particle swarm optimization (MPSO) algorithm is presented. In the new algorithm, particles not only studies from itself and the best one but also from other individuals. By this enhanced study behavior, the opportunity to find the global optimum is increased and the influence of the initial position of the particles is decreased At last, the method adopting MPSO algorithm to solve the optimal power flow problem is given. The numeric simulation for a 5-bus system shows that this algorithm is feasible to solve optimal power flow problem.

Keywords

load flow; particle swarm optimisation; power engineering computing; 5-bus system; modified particle swarm optimization; optimal power flow problem; Application software; Computational modeling; Computer science; Evolutionary computation; Load flow; Machine learning; Numerical simulation; Optimization methods; Particle swarm optimization; Sun; Particle swarm optimization; modified particle swarm optimization; optimal power flow problem;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on

Conference_Location

Guangzhou, China

Print_ISBN

0-7803-9091-1

Type

conf

DOI

10.1109/ICMLC.2005.1527435

Filename

1527435